KADOKAWAグループは、今や60社を超える企業からなる日本有数の総合エンターテインメント企業として、出版、映画、アニメ、ゲーム、およびUGC(User Generated Content)など、多彩なポートフォリオからなるIP(Intellectual Property)を創出し、世界に広く届けています。 日本のコンテンツが世界中から熱い視線を注がれている中、KADOKAWAグループの経営理念は「不易流行」、コーポレートミッションは「世界の才能と、感動をつなぐ、クリエイティブプラットフォーマーへ」を掲げています。 KADOKAWAの知財戦略について、各種のDeep Researchにまとめてもらいました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Gensparkによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 IPで世界中を熱狂させる!KADOKAWA流メディアミックス戦略とグローバル展開の全貌 – 2025.6.23 https://jbpress.ismedia.jp/articles/-/88800 IP創出力に強み メディアミックス戦略で世界市場を攻略 2025年6月9日 https://online.nikkei-cnbc.co.jp/vod/59000 KADOKAWA、もはやゲーム会社 「出版+映像」超えへ 2025年5月1日 https://www.nikkei.com/prime/veritas/article/DGXZQOUB249NQ0U5A420C2000000 KADOKAWA’s Intellectual Property Strategy The KADOKAWA Group, now comprising over 60 companies, is one of Japan’s leading comprehensive entertainment corporations. It creates a diverse portfolio of intellectual properties (IP) across publishing, film, anime, games, and user-generated content (UGC), delivering them widely to audiences around the globe. Amid growing global attention toward Japanese content, KADOKAWA Group upholds the management philosophy of “fueki ryūkō” (maintaining the essence while adapting to change), and sets its corporate mission as: “Becoming a creative platformer that connects global talent with emotional experiences.” I have compiled an overview of KADOKAWA’s IP strategy using various Deep Research tools. The results include findings from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Genspark. Please note that the insights provided by generative AI are based solely on publicly available information and may not fully reflect the actual situation. There is also the possibility of inaccuracies. Kindly keep this in mind as you review the information. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document.
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DeepResearch機能の登場により、誰もが簡単に「情報収集・分析・レポート作成」を行える時代が到来しました。知財業務の領域でも、生成AIとDeepResearch技術を活用したIPランドスケープは、企業の経営戦略・事業戦略立案において革新的な価値を創出しています。 生成AIとDeepResearch技術を活用したIPランドスケープについて、各種のDeep Researchにまとめてもらいました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Gensparkによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 IP Landscape Utilizing Generative AI and DeepResearch Technology With the advent of DeepResearch functionality, we have entered an era in which anyone can easily perform information gathering, analysis, and report creation. In the field of intellectual property operations as well, the integration of generative AI and DeepResearch technology into IP landscaping is generating innovative value in the formulation of corporate management and business strategies. This document summarizes the application of IP landscape utilizing generative AI and DeepResearch technology through various DeepResearch tools. Investigation results from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Genspark are attached. Please note that the analyses and insights generated by generative AI are based solely on publicly available information and may not necessarily reflect actual conditions. They may also include incorrect information, so please review them with discretion. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. DeepResearch機能の登場により、誰もが簡単に「情報収集・分析・レポート作成」を行える時代が到来しました。 影響を大きく受けているのがコンサル業界です。リサーチ業務は、①「初期リサーチ」、②「詳細リサーチ」、③「検証」とで成り立っていますが、DeepResearch機能の登場によって、初期~詳細リサーチの工程は自動化・高速化され、Web上にないリアルな一次情報を取得する「検証」に時間を割くようになっています。 コンサル業界の「DeepResearch最新活用術」を一般企業に適用した場合について、各種のDeep Researchにまとめてもらいました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Gensparkによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 スゴすぎ…コンサル業界の「生成AI活用」最新図鑑、新しい“仕事内容・儲け方”大解説 2025/07/02 https://www.sbbit.jp/article/cont1/167102 【手順解説】コンサル業界の「DeepResearch最新活用術」、進化する“アナリスト仕事の今” 2025/06/30 https://www.sbbit.jp/article/cont1/167077 Latest Applications of DeepResearch With the advent of the DeepResearch function, I have entered an era where anyone can easily conduct “information gathering, analysis, and report creation.” One of the most impacted sectors is the consulting industry. Research tasks generally consist of (1) “initial research,” (2) “detailed research,” and (3) “validation.” However, with the arrival of DeepResearch, the processes of initial to detailed research have become automated and accelerated, allowing more time to be allocated to “validation” — gathering real, firsthand information that is not available on the web. I compiled how the consulting industry's “latest uses of DeepResearch” can be applied to general companies, using various DeepResearch tools. The results of investigations conducted with Gemini (Google), ChatGPT (OpenAI), Perplexity, and Genspark are attached. Please note that the analyses and insights generated by generative AI are based solely on publicly available information and may not necessarily reflect actual conditions. They may also include incorrect information, so please review them with discretion. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 本ブログでも、ほぼ毎日、各種のDeep Researchを使った検索と結果まとめを紹介していますが、Deep Researchについて良く知らない方が多いようなので、「Deep Researchとは?従来のAI検索との違い」について、各種のDeep Researchにまとめてもらいました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 Deep Researchとは? 従来のAI検索との違いも分かりやすく解説 https://www.softbank.jp/biz/blog/business/articles/202505/what-is-deep-research/#:~:text=Deep%20Research%EF%BC%88%E3%83%87%E3%82%A3%E3%83%BC%E3%83%97%E3%83%AA%E3%82%B5%E3%83%BC%E3%83%81%EF%BC%89%E3%81%A8,%E4%B8%96%E4%BB%A3%E3%81%AE%E3%83%AA%E3%82%B5%E3%83%BC%E3%83%81%E6%89%8B%E6%B3%95%E3%81%A7%E3%81%99%E3%80%82 What is Deep Research? How It Differs from Traditional AI Search This blog regularly introduces search results and summaries using various Deep Research tools. However, it seems that many people are still unfamiliar with what "Deep Research" actually is. Therefore, we asked several Deep Research tools to summarize the topic: “What is Deep Research? How does it differ from traditional AI search?” The investigation results from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI are attached. Please note that the analysis results provided by generative AI are based solely on publicly available information, and they do not necessarily reflect the full reality. They may also include incorrect information, so please refer to them with that in mind. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 長年にわたり特許調査・解析、翻訳、及び関連ソフトウェアの開発・販売を手掛けてきた、知的財産(IP)サービス業界の老舗企業である(株)レイテックが令和7年(2025年)6月13日に東京地裁にて破産手続きの開始決定を受けました。生成AIに深掘りさせました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 (株)レイテック/破産手続き開始決定 <東京> https://n-seikei.jp/2025/06/post-111072.html Raytech Co., Ltd. Initiated Bankruptcy Proceedings Raytech Co., Ltd., a long-established company in the intellectual property (IP) services industry that has been engaged for many years in patent research and analysis, translation, and the development and sale of related software, received a decision from the Tokyo District Court to commence bankruptcy proceedings on June 13, 2025 (Reiwa 7). I asked generative AI to conduct an in-depth investigation. Attached are the investigation results from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that the results produced by generative AI are based solely on publicly available information and may not accurately reflect the actual situation. They may also contain inaccuracies, so we recommend reviewing them with caution. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 7月1日は『弁理士の日』ということで、知財関係のブロガーの方が集まって「弁理士の日記念ブログ企画」というイベントを開催しており、弁理士の日を盛り上げようという趣旨で16回目ということです。 今年の「弁理士の日記念ブログ企画2025」のテーマは「生成AIと知財業界」でした。 これらのブログをまとめると、「生成AIと知財業界」に関する知財業界の専門家の関心の傾向がわかるかもしれないと思い、生成AI(Deep Research)にまとめさせました。 すべては網羅できていないようですが、生成AIと知財業界に関する主要な論点、懸念点、活用の方向性、そして業界全体の関心や傾向を分析した要約付きの詳細レポートを作成してもらいました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AI, Genspark, Claude による個性あふれる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 弁理士の日記念ブログ企画2025 https://benrishikoza.com/blog/benrishinohi2025/ Commemorative Blog Project for Patent Attorney Day 2025: “Generative AI and the IP Industry” July 1 is designated as "Patent Attorney Day" in Japan. To celebrate the occasion, a group of intellectual property (IP) bloggers hold an annual event called the "Patent Attorney Day Commemorative Blog Project." This year marks the 16th iteration of the initiative, which aims to raise awareness and appreciation for the profession. The theme of the 2025 edition was "Generative AI and the IP Industry." In compiling these blog posts, I thought it might reveal trends in the concerns and interests of IP professionals regarding generative AI, so I asked a generative AI tool (Deep Research) to summarize them. Although not all blog entries may have been covered, a detailed report has been created analyzing the key discussion points, concerns, directions for application, and overall industry trends and interests surrounding generative AI in the IP sector. The report includes a variety of unique analyses from several generative AI tools: Gemini (Google), ChatGPT (OpenAI), Perplexity, Felo AI, Genspark, and Claude. Please note that the analysis and insights generated by AI are based solely on publicly available information, and may not accurately reflect the actual situation; they may also contain inaccuracies. Thank you for your understanding as you review these materials. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. コンテンツ産業関連、AI搭載ロボット産業関連の楽天モバイルの出願特許について、生成AIに調査させました。生成AIは、特許データベースを持っていないので、特許調査に生成AIは使うべきでないと思っていますが、日本特許庁のデータベースにはアクセスできていないようですが、Google Patentsなどにアクセスして結構良い調査結果を出すようになってきています。まだ全面的に信頼するには至っていませんが。 Gemini(Google), ChatGPT(OpenAI)による調査結果、生成AI先行技術調査GPTsの結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 生成AI先行技術調査GPTsの使い方 https://note.com/tsunobuchi/n/nf5b930446d90 このGPTsは、自然文から先行技術を段階的に調査・検証するエージェント型GPTです。 Rakuten Mobile Patent Applications Related to the Content Industry and AI-Equipped Robot Industry I used generative AI to investigate patent applications filed by Rakuten Mobile that are related to the content industry and the AI-equipped robot industry. While generative AI does not have access to official patent databases and therefore is not ideally suited for patent searches, it appears to have produced fairly good results by accessing publicly available sources such as Google Patents. That said, it has not yet reached a level where it can be fully trusted. Attached are the investigation results by Gemini (Google) and ChatGPT (OpenAI), as well as those from GPTs designed for prior art searches. Please note that the analyses and results produced by generative AI are based solely on publicly available information and may not reflect the actual situation. They may also include inaccuracies, so I advise reviewing them with caution. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 次世代の日本の勝ち筋は、コンテンツ産業、AI搭載ロボット産業という事で国がこれらの産業の育成に力を入れています。楽天モバイルがこれらの産業にどう貢献できるか、どういうビジネスとしてこれらの産業に参入し成長できる可能性があるか、現状とあるべき姿、そのギャップを埋めるシナリオを生成AIに検討させました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AI, Genspark による調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 How Rakuten Mobile Can Contribute to Japan’s Next-Generation Growth Industries Japan has identified content industries and AI-equipped robotics industries as key strategic sectors for future growth, and the government is actively working to promote their development. This report explores how Rakuten Mobile can contribute to these industries, what business models it could adopt to enter and grow in these sectors, the current situation versus the ideal future state, and scenarios to bridge the gap between them, with the assistance of generative AI. The attached results are based on investigations conducted by generative AI models including Gemini (Google), ChatGPT (OpenAI), Perplexity, Felo AI, and Genspark. Please note that the analysis and insights generated by AI are based solely on publicly available information, and may not accurately reflect the actual situation; they may also contain inaccuracies. Thank you for your understanding as you review these materials. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 2025年6月20日に行われた「Questel知財戦略セミナー Caravan 2025年」での、楽天モバイル株式会社の知財管理戦略に関する講演は、最後発で事業参入した会社の知財立ち上げ、管理運営などの話が整理されて説明されており、守りから攻めへ、原理原則に乗っ取った活動の重要性を再認識しました。 楽天モバイルの知財活動について、生成AIによる調査まとめを実施しました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AI, Genspark, Claude による調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 Intellectual Property Activities of Rakuten Mobile At the "Questel Intellectual Property Strategy Seminar Caravan 2025" held on June 20, 2025, Rakuten Mobile, Inc. delivered a presentation on its intellectual property (IP) management strategy. The presentation clearly explained the company’s approach to launching and managing IP operations as a latecomer to the industry. It reaffirmed the importance of shifting from a defensive to an offensive IP stance and the necessity of adhering to fundamental principles. A summary of Rakuten Mobile’s IP activities has been compiled using generative AI. The results of investigations conducted by Gemini (Google), ChatGPT (OpenAI), Perplexity, Felo AI, Genspark, and Claude are attached. Please note that the analyses by generative AI are based solely on publicly available information, and may not accurately reflect the actual situation. Some information may also be incorrect, so I ask that you refer to it with discretion. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. コンテンツ産業関連、AI搭載ロボット産業関連のレゾナック出願特許について、生成AIに調査させました。生成AIは、特許データベースを持っていないので、特許調査に生成AIは使うべきでないと思っていますが、日本特許庁のデータベースにはアクセスできていないようですが、Google Patentsなどにアクセスして結構良い調査結果を出すようになってきています。まだ全面的に信頼するには至っていませんが。 Gemini(Google), ChatGPT(OpenAI)による調査結果、生成AI先行技術調査GPTsの結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 生成AI先行技術調査GPTsの使い方 https://note.com/tsunobuchi/n/nf5b930446d90 このGPTsは、自然文から先行技術を段階的に調査・検証するエージェント型GPTです。 Resonac Patent Applications Related to the Content Industry and AI-Equipped Robot Industry I used generative AI to investigate patent applications filed by Resonac that are related to the content industry and the AI-equipped robot industry. While generative AI does not have access to official patent databases and therefore is not ideally suited for patent searches, it appears to have produced fairly good results by accessing publicly available sources such as Google Patents. That said, it has not yet reached a level where it can be fully trusted. Attached are the investigation results by Gemini (Google) and ChatGPT (OpenAI), as well as those from GPTs designed for prior art searches. Please note that the analyses and results produced by generative AI are based solely on publicly available information and may not reflect the actual situation. They may also include inaccuracies, so I advise reviewing them with caution. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 次世代の日本の勝ち筋は、コンテンツ産業、AI搭載ロボット産業という事で国がこれらの産業の育成に力を入れています。レゾナックがこれらの産業にどう貢献できるか、どういうビジネスとしてこれらの産業に参入し成長できる可能性があるか、現状とあるべき姿、そのギャップを埋めるシナリオを生成AIに検討させました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 How Resonac Can Contribute to Japan’s Next-Generation Growth Industries Japan has identified content industries and AI-equipped robotics industries as key strategic sectors for future growth, and the government is actively working to promote their development. This report explores how Resonac can contribute to these industries, what business models it could adopt to enter and grow in these sectors, the current situation versus the ideal future state, and scenarios to bridge the gap between them, with the assistance of generative AI. The attached results are based on investigations conducted by generative AI models including Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that the analysis and insights generated by AI are based solely on publicly available information, and may not accurately reflect the actual situation; they may also contain inaccuracies. Thank you for your understanding as you review these materials. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 生成AIによって作成された画像等を外部向けに公開する場合(資料等へ添付、動画公開等)の注意点について、生成AIにまとめさせました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 米地裁、メタAI開発に著作権侵害認めず 「公正利用」には懐疑的 2025年6月27日 https://www.nikkei.com/article/DGXZQOGN26EED0W5A620C2000000/ 生成aiと著作権の関係や侵害リスクを徹底解説 最新判例と安全対策もわかる 2025/06/24 https://assist-all.co.jp/column/ai/20250624-5660/ 生成された文章や画像 AIの著作権はどうなっているのか、文化庁の見解を知る 2025.06.20 https://xtech.nikkei.com/atcl/nxt/column/18/02737/061600037/ 【2024年最新】生成AIによる事件5選|情報漏洩〜詐欺事件まで 更新日:2025年6月14日 https://metaversesouken.com/ai/generative_ai/incident/ Important Points When Publishing Images Created by Generative AI for External Use I asked generative AI to summarize important considerations when publishing images or other content created by generative AI for external use (e.g., attaching them to documents, publishing videos, etc.). The attached findings come from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that these analyses by generative AI are based solely on publicly available information; they may not fully reflect actual conditions and could contain inaccuracies. Review them with this in mind. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 化学分野における研究開発を加速するためのAI活用ツールを、下記のプロンプトで、生成AIに調査させまとめさせました。 「化学分野における研究開発を加速するためのAI活用ツールについて、企業向けを主に、学術研究向けも含め、論文検索、化学反応予測、新規物質設計、実験自動化などを支援する代表的なAIツールの特徴・機能・活用事例について、有料ツールも対象に調査してください。要約付きの詳細レポート形式で報告してください。」 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 AI Tools for Accelerating R&D in the Field of Chemistry I asked generative AI to research and compile information on AI-powered tools that speed up research and development in chemistry, using the prompt below: “Investigate AI tools that accelerate R&D in the field of chemistry—focusing primarily on enterprise solutions while also covering academic-oriented tools—and report, in a detailed format with an executive summary, on the key features, functions, and real-world use cases of representative tools that support literature search, reaction prediction, novel compound design, experimental automation, and more. Paid tools should be included.” The attached findings come from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that these analyses by generative AI are based solely on publicly available information; they may not fully reflect actual conditions and could contain inaccuracies. Review them with this in mind. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. かゆみ改善薬に関する特許(用途特許)を侵害したとして、東レが後発薬メーカー2社に損害賠償を求めた訴訟で、知財高裁(清水響裁判長)は2025年5月27日、沢井製薬と扶桑薬品工業に計217億円の支払い(医薬品特許訴訟では過去最高額)を命じましたが、扶桑薬品工業は6月6日、沢井製薬は6月9日、「判例と矛盾」として最高裁に上告しています。 訴訟の焦点は、有効成分「ナルフラフィン」の用途特許に対し、両社が塩酸塩型の後発薬を販売した点で、地裁は「異なる物質」として東レの請求を棄却しましたが、知財高裁は「体内で同じ成分として作用する」として侵害を認定しました。 厚労省の承認制度では特許延長前の販売が可能で、特許判断と行政の乖離も浮き彫りになり、高額賠償が後発薬開発の萎縮を招く恐れもあり、制度見直しが急務となっているようです。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 後発薬企業に賠償リスク 東レ特許訴訟、過去最高額命じる 厚労省の承認過程 課題 2025年6月30日 https://www.nikkei.com/article/DGKKZO89689360Z20C25A6TCJ000/ 東レ特許訴訟、後発薬メーカーに衝撃 217億円の賠償判決 https://www.nikkei.com/article/DGXZQOTG056JR0V00C25A6000000/ Infringement of a Use Patent for Itch-Relief Medication In a lawsuit filed by Toray Industries seeking damages for the infringement of a use patent related to an itch-relief drug, the Intellectual Property High Court (Chief Judge: Hibiki Shimizu) on May 27, 2025, ordered Sawai Pharmaceutical and Fusō Pharmaceutical Industries to pay a total of 21.7 billion yen—the largest amount ever awarded in a pharmaceutical patent case in Japan. However, Fusō Pharmaceutical appealed to the Supreme Court on June 6, and Sawai Pharmaceutical followed on June 9, claiming the decision contradicts existing precedents. The core issue in the case was whether the two companies' generic versions, which used the hydrochloride form of the active ingredient "Nalfurafine," infringed Toray's use patent. The district court dismissed Toray's claim, ruling the substances were different. However, the IP High Court found infringement, reasoning that the compound acts as the same substance within the human body. Under the Ministry of Health, Labour and Welfare's approval system, sales before patent extension are permitted, highlighting a discrepancy between patent rulings and administrative procedures. This case raises concerns that such high damages could discourage the development of generic drugs, making a review of the system increasingly urgent. The results of investigations conducted using generative AI tools such as Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI are attached. Please note that these analyses by generative AI are based solely on publicly available information and may not necessarily reflect actual conditions. They may also contain incorrect information, so we kindly ask you to keep that in mind when reviewing the findings. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. コンテンツ産業関連、AI搭載ロボット産業関連のブリヂストン出願特許について、生成AIに調査させました。生成AIは、特許データベースを持っていないので、特許調査に生成AIは使うべきでないと思っていますが、日本特許庁のデータベースにはアクセスできていないようですが、Google Patentsなどにアクセスして結構良い調査結果を出すようになってきています。まだ全面的に信頼するには至っていませんが。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果、生成AI先行技術調査GPTsの結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 Bridgestone Patent Applications Related to the Content Industry and AI-Equipped Robot Industry I instructed generative AI to investigate patent applications filed by Bridgestone related to the content industry and the AI-equipped robot industry. While generative AI does not possess its own patent database and therefore is generally not recommended for conducting patent searches, it has begun to produce fairly good results by accessing publicly available databases such as Google Patents—even though it appears not to have access to the Japan Patent Office’s official database. That said, it is still not yet reliable enough to be fully trusted. Attached are the research results from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI, as well as prior art search results generated by a GPT-based generative AI. Please note that the findings from these generative AI tools are based solely on publicly available information and may not reflect actual conditions. They may also contain inaccuracies, so please review them with caution. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 次世代の日本の勝ち筋は、コンテンツ産業、AI搭載ロボット産業という事で国がこれらの産業の育成に力を入れています。ブリヂストンがこれらの産業にどう貢献できるか、どういうビジネスとしてこれらの産業に参入し成長できる可能性があるか、現状とあるべき姿、そのギャップを埋めるシナリオを生成AIに検討させました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 How Can Bridgestone Contribute to Japan’s Next-Generation Growth Industries? The Japanese government is focusing on nurturing two key industries considered vital for the country’s next phase of growth: the content industry and the AI-equipped robotics industry. This analysis explores how Bridgestone can contribute to these sectors, the potential business opportunities for entering and growing within them, the current status of the company, the ideal future state, and scenarios for bridging the gap between the two — all examined through generative AI. The attached results are based on investigations conducted by generative AI models including Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that the analysis and insights generated by AI are based solely on publicly available information, and may not accurately reflect the actual situation; they may also contain inaccuracies. Thank you for your understanding as you review these materials. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 『経営トップ、生成AI「毎日使う」4割 翻訳や議論相手に 社長100人アンケート』(2025年6月28日日本経済新聞)の中で、ブリヂストンの石橋秀一最高経営責任者(CEO)は生成AIを使っていることで「研究開発においては予測精度が向上することで開発期間の短縮につながっている」と回答していたということです。 この内容を生成AIに深掘りさせました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 経営トップ、生成AI「毎日使う」4割 翻訳や議論相手に 社長100人アンケート 2025年6月28日 https://www.nikkei.com/article/DGXZQOUC1902D0Z10C25A6000000/ Improved Forecast Accuracy and Shortened Development Period with Generative AI In the article titled “40% of Top Executives Use Generative AI Daily – For Translation and as a Discussion Partner: Survey of 100 CEOs” published by Nihon Keizai Shimbun on June 28, 2025, Bridgestone CEO Shuichi Ishibashi commented that "in research and development, the use of generative AI has led to improved forecast accuracy, which in turn has shortened the development period." I used generative AI to further analyze this statement. The results of the investigation conducted by Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI are attached. Please note that the analysis by generative AI is based solely on publicly available information and may not necessarily reflect the actual situation; it may also contain inaccuracies. Kindly take this into consideration when reviewing the content. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. コンテンツ産業関連、AI搭載ロボット産業関連の旭化成出願特許について、生成AIに調査させました。生成AIは、特許データベースを持っていないので、特許調査に生成AIは使うべきでないと思っていますが、日本特許庁のデータベースにはアクセスできていないようですが、Google Patentsなどにアクセスして結構良い調査結果を出すようになってきています。まだ全面的に信頼するには至っていませんが。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果、生成AI先行技術調査GPTsの結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 Asahi Kasei Patent Applications Related to the Content Industry and AI-Equipped Robot Industry I instructed generative AI to investigate patent applications filed by Asahi Kasei related to the content industry and the AI-equipped robot industry. While generative AI does not possess its own patent database and therefore is generally not recommended for conducting patent searches, it has begun to produce fairly good results by accessing publicly available databases such as Google Patents—even though it appears not to have access to the Japan Patent Office’s official database. That said, it is still not yet reliable enough to be fully trusted. Attached are the research results from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI, as well as prior art search results generated by a GPT-based generative AI. Please note that the findings from these generative AI tools are based solely on publicly available information and may not reflect actual conditions. They may also contain inaccuracies, so please review them with caution. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 次世代の日本の勝ち筋は、コンテンツ産業、AI搭載ロボット産業という事で国がこれらの産業の育成に力を入れています。旭化成がこれらの産業にどう貢献できるか、どういうビジネスとしてこれらの産業に参入し成長できる可能性があるか、現状とあるべき姿、そのギャップを埋めるシナリオを生成AIに検討させました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 How Can Asahi Kasei Contribute to Japan’s Next-Generation Growth Industries? The Japanese government is focusing on nurturing two key industries considered vital for the country’s next phase of growth: the content industry and the AI-equipped robotics industry. This analysis explores how Asahi Kasei can contribute to these sectors, the potential business opportunities for entering and growing within them, the current status of the company, the ideal future state, and scenarios for bridging the gap between the two — all examined through generative AI. The attached results are based on investigations conducted by generative AI models including Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that the analysis and insights generated by AI are based solely on publicly available information, and may not accurately reflect the actual situation; they may also contain inaccuracies. Thank you for your understanding as you review these materials. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. 次世代の日本の勝ち筋は、コンテンツ産業、AI搭載ロボット産業という事で国がこれらの産業の育成に力を入れています。東京大学がこれらの産業にどう貢献できるか、現状とあるべき姿、そのギャップを埋めるシナリオを生成AIに検討させました。 Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。 ちなみに、各個別企業の名前を入れて検討させるとかなり興味深い分析をしてくれます。 How the University of Tokyo Can Contribute to Japan’s Next-Generation Winning Industries Japan has identified content industries and AI-equipped robotics industries as its next-generation “winning sectors,” and the government is actively promoting the development of these fields. I tasked generative AI with analyzing how the University of Tokyo can contribute to these industries, examining the current situation, the ideal future role, and possible scenarios to bridge the gap between the two. The attached research results are based on generative AI investigations conducted by Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that the findings and analyses generated by AI are based solely on publicly available information and may not fully reflect the actual situation; inaccuracies may also be included. I recommend reviewing the results with this in mind. Incidentally, if you prompt the AI to analyze with the names of individual companies included, you can obtain quite intriguing analyses. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. |
著者萬秀憲 アーカイブ
June 2025
カテゴリー |